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# docs cleaning Changed docs to consistent format (probably, we need an official doc integration template): - ClearML - added product descriptions; changed title/headers - Rebuff - added product descriptions; changed title/headers - WhyLabs - added product descriptions; changed title/headers - Docugami - changed title/headers/structure - Airbyte - fixed title - Wolfram Alpha - added descriptions, fixed title - OpenWeatherMap - - added product descriptions; changed title/headers - Unstructured - changed description ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @hwchase17 @dev2049
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Wolfram Alpha
WolframAlpha is an answer engine developed by
Wolfram Research. It answers factual queries by computing answers from externally sourced data.
This page covers how to use the Wolfram Alpha API within LangChain.
Installation and Setup
- Install requirements with
pip install wolframalpha
- Go to wolfram alpha and sign up for a developer account here
- Create an app and get your
APP ID - Set your APP ID as an environment variable
WOLFRAM_ALPHA_APPID
Wrappers
Utility
There exists a WolframAlphaAPIWrapper utility which wraps this API. To import this utility:
from langchain.utilities.wolfram_alpha import WolframAlphaAPIWrapper
For a more detailed walkthrough of this wrapper, see this notebook.
Tool
You can also easily load this wrapper as a Tool (to use with an Agent). You can do this with:
from langchain.agents import load_tools
tools = load_tools(["wolfram-alpha"])
For more information on this, see this page